Drug Repositioning to Accelerate Drug Development Using Social Media Data: Computational Study on Parkinson Disease.

ABSTRACT:

Background

Due to the high cost and low success rate in new drug development, systematic drug repositioning methods are exploited to find new indications for existing drugs.

Objective

We sought to propose a new computational drug repositioning method to identify repositioning drugs for Parkinson disease (PD).

Methods

We developed a novel heterogeneous network mining repositioning method that constructed a 3-layer network of disease, drug, and adverse drug reaction and involved user-generated data from online health communities to identify potential candidate drugs for PD.

Results

We identified 44 non-Parkinson drugs by using the proposed approach, with data collected from both pharmaceutical databases and online health communities. Based on the further literatu

SUBMITTER: Zhao M 

PROVIDER: S-EPMC6231748 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature